Develop software using python and openCV to create a depth map of a person’s face and torso.
You can MATLAB code we already developed as guide.
Experience required
- Python - image processing
- openCV - face detection
Preferred:
- Experience with MATLAB to look at existing code
Details:
https://docs.google.com/document/d/1v2c4kpVr-A_bp7E9k4zNXvofp2y-uuhu3_eW_znQVfw/edit?usp=sharing
Budget: At least $500, please provide your estimate and time-frame
Can lead to long-term position if goes well

We have developed a method for identifying polygon objects and recoloring their surface while preserving lighting conditions.
This is a two part algorithm.
Part one requires no user input, runs a custom line detection method, and finds all line intersections.
Part 2a has a single coordinate as user input, extracts a color from that coordinate and finds a polygon around that coordinate using both the custom line detection from part one and color segmentation.
2b takes a user input color, maps the image to a different colorspace and changes the polygon around the user input to the target color to preserve shaging of the original image. Please note that the lightness of the input color is considered an important part of that color and cannot be separated from the input.
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The scope of this project is to develop an image processing system for a pipe welding robot. The robot control system will rely on feedback from the image processing algorithms to determine the location of the welding electrode in relation to the weld seam edges to correct positional errors.
It is anticipated that to achieve these objectives the following general steps will be required:
1) Establish a coordinate system
2) Calibrate the image
3) Window the image (for weld pool and weld seam edges)
4) Remove interlacing artefacts
5) Apply a median filter
6) Apply a sharpening filter
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8) Remove false edges
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11) Determine the positional error
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Refer attached illustrations for further information.

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OVERVIEW:
Hey there. I’m a programmer and computer vision researcher who is putting together a set of deep learning and convolutional neural network tutorials to help other coders more easily learn and apply deep learning.
I am covering much of the “code example” tutorials, but I really need some help writing out the more technical content and explanations.
I am looking to have 5-7 tutorials written covering the following topics:
1. An introduction to deep learning
2. A tutorial on Deep Belief Networks
3. A tutorial on Convolutional Neural Networks
4. A tutorial on what each layer of a CNN is used for, how to utilize each layer, and when each layer should be utilized.
5. A tutorial demonstrating how to train a model using Caffe.
6. A sort of “What’s next?” tutorial where you can point out resources or recommendations moving forward.
ARTICLE LENGTH...

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(2) The video feeds will be analyzed in a dedicated software (can refer to any OpenCV project to count vehicles)
(3) The count analytics will be sent to cloud via 3G connection
OpenCV Reference: https://www.behance.net/gallery/Vehicle-Detection-Tracking-and-Counting/4057777

We are looking for a Computer Vision expert to work with our team to advance ongoing work registering multi-modal sensors to a common real-world coordinate system.
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Due to this it became necessary to fully understand the algorithm of building, training and fitting Active Shape and Active Appearance Models. I believe that the right thing is to be done in UML form or other type of algorithm description (this can be your proposal). The main thing is not the form and presentation...

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